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Paper Citation Record · LEDGER

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2509.09499.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.09499 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:02:57.067392Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8ec2b42-f84b-4583-ba3d-f09915d14efd · outbound

This paper cites CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:02:57.017481Z digest=sha256:cb48c84836afaa98931ecd2bce343ebee5124364855228d99e651dc97a185070

Observation 945358bb-aa31-478b-bdac-46dc296ecf03 · outbound

This paper cites Semantic successive refinement: A generative ai-aided semantic communication framework,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Semantic successive refinement: A generative ai-aided semantic communication framework,

Reference 2

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source=pdf_text observed=2026-08-04T19:02:57.021130Z digest=sha256:ffffa12b2faeddcbaf7edfed2340a206076677cfbd4ffdde1aa5e19494315d84

Observation ba0b7dbc-97d4-49eb-ad16-e1fc63b60223 · outbound

This paper cites ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications

Reference 3

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source=pdf_text observed=2026-08-04T19:02:57.023926Z digest=sha256:2573f4ee0a0973458b022841dd01996d037d798e9d9bedeccf9ce1c4adfaa1ff

Observation 9b8abc4a-07ac-4acf-a06f-5eca06ab3c4d · outbound

This paper cites Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission

Reference 4

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source=pdf_text observed=2026-08-04T19:02:57.026958Z digest=sha256:929869c7af5d23ac107ff8b39c329897bc32bdbf7d2e666d423214579eecf85d

Observation 0811e6d6-c909-4575-b10b-b357032abcaf · outbound

This paper cites High Perceptual Quality Wireless Image Delivery with Denois- ing Diffusion Models,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems High Perceptual Quality Wireless Image Delivery with Denois- ing Diffusion Models,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:02:57.030101Z digest=sha256:bc107fc5129e26fb13e3c8ae962212198f281313d2d34aea52f9387fc545c5fa

Observation 1706ed39-ef64-4dc7-8c9a-70d149d4d26e · outbound

This paper cites Deep Joint Source-Channel Coding for Wireless Image Transmission,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Deep Joint Source-Channel Coding for Wireless Image Transmission,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:02:57.032769Z digest=sha256:4cf7821c41dbab5c57d37933ea39994f4918bba497ac7595dcf4cbaac89ac519

Observation 74c08b22-0611-4c0b-b1a2-b280f2e0241b · outbound

This paper cites Vi- sion transformer for adaptive image transmission over MIMO channels,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Vi- sion transformer for adaptive image transmission over MIMO channels,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:02:57.035742Z digest=sha256:6ebd36e071a965ae6ae01e50dcfb87ea1249d9803d653e0e564f10155d71aac2

Observation 84f8008a-4e3e-4ae7-bcea-fa9d2d6641a5 · outbound

This paper cites SwinJSCC: Taming Swin Transformer for Deep Joint Source- Channel Coding,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems SwinJSCC: Taming Swin Transformer for Deep Joint Source- Channel Coding,

Reference 8

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source=pdf_text observed=2026-08-04T19:02:57.038326Z digest=sha256:720152159feb48313e2afbb92dbc97f526c2a9f2b7228f617cfa2c9ef8f1de3d

Observation 62f5bdb0-9a93-4c3e-8d35-a83a058777da · outbound

This paper cites MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model

Reference 9

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source=pdf_text observed=2026-08-04T19:02:57.040777Z digest=sha256:1ec640a2074577d5114cf1acfe2d5e85664f63915de3b0ebea6ccf352845655b

Observation 27874e01-b150-49d2-a28b-ce62038c3967 · outbound

This paper cites Nonlinear Transform Source-Channel Coding for Semantic Communications,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Nonlinear Transform Source-Channel Coding for Semantic Communications,

Reference 10

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source=pdf_text observed=2026-08-04T19:02:57.043520Z digest=sha256:d44aaf10e93c4789609039d72a2e166ee22ac818ca8b0d4f2fc079a6c63f1866

Observation d89a9d68-cbf5-4194-9d9d-7cb73a9d6a9a · outbound

This paper cites Deep Joint Source-Channel Coding for Wireless Image Trans- mission with Entropy-Aware Adaptive Rate Control,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Deep Joint Source-Channel Coding for Wireless Image Trans- mission with Entropy-Aware Adaptive Rate Control,

Reference 11

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source=pdf_text observed=2026-08-04T19:02:57.046185Z digest=sha256:3731071f5846db292eaf9574beb17a72b1b8bc5da2f41aafcd51dd8206c67dab

Observation f1782d62-f4f1-4f6a-950c-39c1c4e2d9dc · outbound

This paper cites Feature Importance-Aware Deep Joint Source-Channel Coding for Computationally Efficient and Adjustable Image Transmission.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Feature Importance-Aware Deep Joint Source-Channel Coding for Computationally Efficient and Adjustable Image Transmission

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:02:57.048694Z digest=sha256:9d3e4677d69899b31509238f2d289ec6ca1af091dbfacc4a00b6d749b4772eb8

Observation 9689af7f-37e0-408a-a481-26873971507f · outbound

This paper cites Denoising diffusion probabilistic models,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Denoising diffusion probabilistic models,

Reference 13

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source=pdf_text observed=2026-08-04T19:02:57.052154Z digest=sha256:7611ade33c0cd4baef7d971ea7867ecf1daa5b3cc297fcbdaa0fa0c7ebbaed3b

Observation 53274ce4-ec9c-44bd-b47c-ca3d8aefaea7 · outbound

This paper cites Segment Anything,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Segment Anything,

Reference 14

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source=pdf_text observed=2026-08-04T19:02:57.054595Z digest=sha256:5a85cc986c70fb651e826e9fb02b7a6edc2ebeb46887a06b26f8b835ca6de884

Observation 04e64091-bc08-43f6-9e09-8c3b783f880e · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 15

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source=pdf_text observed=2026-08-04T19:02:57.057086Z digest=sha256:702d0fbe47309a9f7fffb7d958462ac082c103fdda4e45f35dd693a2df09c5a9

Observation 34c2052a-3fae-471b-b757-a0a5a1cb5002 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Un- derstanding and Generation,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Un- derstanding and Generation,

Reference 16

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source=pdf_text observed=2026-08-04T19:02:57.060063Z digest=sha256:585ac8f8fd6147bf8a77a4603f849f529e449261b21799d7b30aa3365ed2ba80

Observation cb2421b0-4afb-435b-b98f-24b7a2931207 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 17

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source=pdf_text observed=2026-08-04T19:02:57.062518Z digest=sha256:494ef65d36cd2f7fd03d0244dec9c4d43aeb0810339b1c825c2b5d0a7f64f7ec

Observation 3fcda2db-6dbe-4c5d-8d6f-15ca9340fb14 · outbound

This paper cites DiffCom: Channel Received Signal Is a Natural Condition to Guide Diffusion Posterior Sampling,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems DiffCom: Channel Received Signal Is a Natural Condition to Guide Diffusion Posterior Sampling,

Reference 18

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source=pdf_text observed=2026-08-04T19:02:57.064911Z digest=sha256:66d9f964b66caa6ac1eb5b7a48fe8bb99edb1c4567d2e4c88bfe345a7a611589

Observation 8e7685a8-9121-440c-9969-476d96a3abfa · outbound

This paper cites Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission,.

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission,

Reference 19

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source=pdf_text observed=2026-08-04T19:02:57.067392Z digest=sha256:66adbb4b94a65f50da14e3b7a4f6bff5f133784a652045335d06db80f6e42cba

Pith citing papers

No inbound Pith citation observations are available.